Is the amou nt of daily caffein e

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Is the amou nt of daily caffein e intake relat ed to weight of

Is the amou nt of daily caffein e intake relat ed to weight of ad ult females?

Purpose of the study To find out using statistical analysis if the amount of

Purpose of the study To find out using statistical analysis if the amount of daily caffeine intake is related to weight of adult females. 2

Study design Using the quantitative variables weight (in pounds) and amount of caffeine consumed

Study design Using the quantitative variables weight (in pounds) and amount of caffeine consumed per day (in milligrams), we collected data from 40 randomly selected adult females in Salt Lake City. To ensure randomness, we made sure our data came from adult females with different occupation e. g. Office personnel, manufacturing personnel, students etc. 3

Data collection To ensure anonymity, the team has used an online survey that was

Data collection To ensure anonymity, the team has used an online survey that was created. To avoid non-response bias, the team has also used a form with some marked dummy data to help with anonymity where subjects were able to fill in their information. Note: Dummy data has been discarded during analysis 4

Data translation Since the subjects did not know the amount of caffeine they consume

Data translation Since the subjects did not know the amount of caffeine they consume per day, we asked them to tell us how many caffeinated drinks they consume per day. That data has later been translated into milligrams of caffeine using: http: //www. energyfiend. com/the-caffeine-database Example: 8 oz Green Tea = 25 mg caffeine 5

Weight statistics (lb) 6

Weight statistics (lb) 6

Caffeine statistics 7

Caffeine statistics 7

Scatterplot y = 162. 27783 – 0. 024031745 (Caffeine Intake) 8

Scatterplot y = 162. 27783 – 0. 024031745 (Caffeine Intake) 8

Results Although weight in the sample size seems to be normally distributed, the caffeine

Results Although weight in the sample size seems to be normally distributed, the caffeine intake is skewed to the right. It would be misleading to say that there is a direct correlation between the two variables by looking at this sample size. A greater sample size could give a better resolution and ultimately a more accurate picture of the correlation between the two variables, but as this statistical analysis is showing, there is no solid correlation between these two variables. 9

Conclusion Critical Value = 0. 304 Linear Correlation Coefficient (r) = -0. 1011 Since

Conclusion Critical Value = 0. 304 Linear Correlation Coefficient (r) = -0. 1011 Since r = -0. 1011 is less than the critical value of 0. 304, we can conclude that there is no significant relationship between daily caffeine intake and the adult female weight, therefore, we can say that the daily caffeine intake is not related to the adult female weight. 10

 Graphs Contributions Daneila Data Collection Sarah Results/Conclusion Power. Point Shannon Muris 11

Graphs Contributions Daneila Data Collection Sarah Results/Conclusion Power. Point Shannon Muris 11